Jobs at Applied Materials

Design, prototype, and develop moderately complex C++ software for semiconductor equipment components and devices. Build reusable modules and libraries, create documentation and test procedures, troubleshoot software issues, implement fixes, and communicate with customers about requirements, schedules, and technical problems. The role also involves using AI-assisted coding tools and LLMs for debugging, code generation, benchmarking, review, and refactoring.

Develop and maintain complex frontend and product software using React, Redux, TypeScript, JavaScript, and Java. Responsibilities include designing features, writing automation and tests, troubleshooting customer issues, supporting releases, documenting solutions, coordinating with global teams, and communicating with external customers. The role requires participation throughout the product lifecycle and occasional travel for feature integrations and version installations.

Designs, develops, tests, deploys, and maintains complex Java software solutions for semiconductor equipment. Owns feature development, defines architectures and test strategies, troubleshoots distributed systems, performs root-cause analysis, and participates in design and code reviews. Collaborates with product management, customers, and cross-functional teams while promoting engineering best practices, technical excellence, and continuous improvement. The role requires expertise in Spring Boot, microservices, event-driven architectures, Kubernetes, CI/CD, and modern software design.

Leads design and development of scalable software for semiconductor manufacturing automation. Drives architecture across backend, frontend, databases, messaging, infrastructure, Kubernetes, and AI-enabled systems. Partners with product teams and customers to improve productivity, quality, throughput, and operational efficiency. Mentors engineers, conducts design and code reviews, and improves reliability, observability, performance, and operational excellence.

Lead QA Engineers, SDETs, and Qualification Engineers while defining quality strategy, test automation, and product qualification efforts. Drive functional, integration, system, regression, and end-to-end testing; build scalable automation frameworks; integrate testing into CI/CD; monitor quality metrics; improve defect prevention and release readiness; and advance AI-assisted testing. The role is approximately 60% hands-on technical work and 40% people management.

Designs and implements scalable software architectures for semiconductor equipment systems. Collaborates with engineers, product managers, and stakeholders to translate requirements into technical designs, prototypes solutions, conducts reviews, mitigates technical risks, evaluates technologies, and mentors engineering teams. The role requires extensive Java, Spring Boot, microservices, workflow framework, reactive programming, algorithms, and large-scale systems experience, with Python and machine learning knowledge preferred.

Design and implement scalable high-performance computing infrastructures for chip manufacturing, focusing on GPU and CPU integration, parallel programming, and optimization.

Leads a technical team developing computer vision, machine learning, image processing, and deep learning algorithms for semiconductor inspection and metrology systems. Defines architecture and technical roadmaps, drives high-performance CPU/GPU implementations, oversees validation and product releases, resolves customer issues, and partners with global software, HPC, systems, product, and applications teams. Responsible for hiring, mentoring, succession planning, and cross-functional delivery.

Lead the architecture and development of scalable software for semiconductor manufacturing automation. Build across frontend, backend, databases, messaging, infrastructure, Kubernetes, and AI-powered systems. Partner with product teams, customers, and domain experts to improve manufacturing productivity, quality, throughput, and reliability. Mentor engineers, guide technical direction, improve observability and performance, and influence product decisions through strong engineering judgment and semiconductor manufacturing expertise.

Leads design, development, testing, deployment, and support of complex C/C++ and .NET software for MES and equipment automation systems. Translates requirements into scalable architectures, resolves distributed-system issues, drives verification and validation, participates in design and code reviews, collaborates with cross-functional teams, mentors engineers, and leads technical projects.

Research and develop domain-specific LLMs and generative models for materials science: pretraining, fine-tuning, alignment (e.g., RLHF), evaluation, dataset curation, and benchmark creation. Collaborate with scientists and engineers to apply generative AI to discovery and hardware design, publish research, and mentor junior team members.

Lead a backend/product software team (7-10 developers) to deliver end-to-end Java-based features and fixes. Provide technical mentorship, contribute hands-on coding and architecture (HLD/LLD), ensure software quality, CI releases, and work with large data sets and databases. Interface with stakeholders, operate in a multi-site Agile environment, and split time between technical delivery and management.

Design, develop, and debug complex software for semiconductor equipment. Create software specifications, test plans, documentation, and test procedures. Troubleshoot and fix difficult software issues, implement fixes, and collaborate with internal and external customers on requirements and schedules.

Create and maintain high-quality software documentation (online help, release notes, installation instructions). Collaborate with engineers, product managers, QA, and support to gather information, use software and VMs to explore features, produce diagrams/screenshots, and deliver accurate documentation on schedule while using AI tools to improve productivity.